Wine export price as a proportion of French wine export prices

2019 ◽  
Keyword(s):  
Export Price ◽  
Export Prices

scholarly journals The effects of international price volatility on farmer prices and marketing margins in cattle markets

2018 ◽  
Vol 21 (3) ◽  
pp. 335-350
Author(s):  
L. Emilio Morales
Keyword(s):  
Developing Countries ◽  
Fixed Effects ◽  
Service Providers ◽  
Export Price ◽  
Price Volatility ◽  
Developed Countries ◽  
Price Transmission ◽  
Export Prices ◽  
Cattle Markets ◽  
Marketing Margins

This study examines the effects of export price volatility in cattle markets using panel data from twelve countries between 1970 and 2013. Fixed-effects models with Driscoll and Kraay standard errors were estimated to control for cross-sectional dependence. Results indicate that price transmission depends on prices previously paid to farmers, variations in export prices and volatility of export prices, which reduces farmer prices in developed countries and it increases them in developing countries. In contrast, marketing margins are reduced by contemporaneous export price volatility and are increased by previous volatility. Exporters in developing countries take more time to transmit shocks in international prices, pay lower prices to farmers and absorb a bigger proportion of price fluctuations. These price transmission imperfections affect investments, technology adoption, production level and quality across the chain in developing countries, which negatively impact farmers, input and service providers, traders and other actors of the beef cattle chain.

scholarly journals Spatial Price Transmission and Price Dynamics of Global Butter Export Market under Economic Shocks

2021 ◽  
Vol 13 (16) ◽  
pp. 9297 ◽  
Author(s):  
Huidan Xue ◽  
Chenguang Li ◽  
Liming Wang ◽  
Wen-Hao Su
Keyword(s):  
New Zealand ◽  
Crude Oil ◽  
Palm Oil ◽  
Export Price ◽  
Raw Milk ◽  
Oil Price ◽  
Crude Oil Price ◽  
Price Fluctuations ◽  
Export Prices ◽  
The U.S

Recently, the world has experienced striking economic and policy changes, and subsequent uncertainties have impacts on dairy trade price fluctuations. The Global Vector Autoregressive (GVAR) methodology was established in this paper to better understand international butter export prices transmission, the feedback between the economic context changes and price fluctuations, and the link between the global butter market, energy market, and other commodity markets. We assessed which key factors are typically associated with butter export price movements with regards to shocks to crude oil price, palm oil price, farm-gate raw milk price, exchange rates, and consumer price index (CPI) for food of the EU, New Zealand, the U.S., and the rest of world (RoW), respectively. Using generalized impulse response functions, this study found that decreases in farm-gate raw milk price could be swiftly transmitted to butter export prices of not only a home country but other foreign countries. However, palm oil price and crude oil price merely affects global butter export prices. We also found that U.S. dollar depreciations against the Euro will cause a decline in U.S. butter export price. It is concluded that butter export markets are not well-integrated, yet butter export prices of New Zealand and the U.S. are highly linked.

scholarly journals How top exporters compete? Evidence from Spain

2018 ◽  
Vol 7 (2) ◽  
pp. 55
Author(s):  
Juan De Lucio ◽  
Raúl Mínguez ◽  
Asier Minondo ◽  
Francisco Requena
Keyword(s):  
Export Price ◽  
High Price ◽  
Negative Effects ◽  
Firm Level ◽  
Quality Differentiation ◽  
Export Prices

This paper analyzes whether top exporters follow a cost-based or a quality-based strategy. Using Spanish firm-level export data for 2016, we show that firms that set lower export prices have larger export revenues. We also find that exporters obtain larger revenues from their low-price products than from their high-price products. Some results suggest that the negative effects of a higher export price on export revenues can be attenuated if firms export goods that provide scope for quality-differentiation.

Reconstruction of global ex-vessel prices of fished species

2016 ◽  
Vol 74 (1) ◽  
pp. 121-133 ◽  
Author(s):  
Michael C. Melnychuk ◽  
Tyler Clavelle ◽  
Brandon Owashi ◽  
Kent Strauss
Keyword(s):  
Time Series ◽  
Export Price ◽  
Correlation Coefficients ◽  
Price Transmission ◽  
Individual Species ◽  
Export Prices ◽  
Species Lists ◽  
Data Tables ◽  
Multiple Species ◽  
Taxonomic Groups

Economic dimensions of global fishery analyses are often limited by unavailable or inconsistent ex-vessel price data from the world’s fishing nations. We describe a novel method for estimating ex-vessel price time series for individual species by converting export prices of fishery commodities into ex-vessel prices and pairing these with species. The method relies exclusively on global, publicly-available data from the Food and Agricultural Organization of the United Nations (FAO). National datasets of ex-vessel prices are not used as inputs for the method, but comparisons of reconstructed ex-vessel prices with actual prices from national datasets showed strong correspondence. Correlation coefficients for paired reconstructed prices and actual prices of the same species were typically between 0.60 and 0.75 annually in the past two decades. There was a tendency for reconstructed prices to be less variable than actual prices, over-estimating actual prices at low values of actual prices and under-estimating actual prices at high values, likely the result of incomplete price transmission or assigning a given price time series to multiple species. However, there was no evidence of overall bias between reconstructed prices and actual prices, and correlations were strongest for comparisons involving multiple taxonomic groups. The method described carries advantages of global comprehensiveness and consistency across countries in reconstructed ex-vessel prices, reflecting the comprehensiveness and consistency of export price information. The method described links to species from the global FAO landings database, but can be modified to pair with other species lists or to focus on specific regions or countries. Data tables and source code are publicly available and ex-vessel price estimates can be updated annually following annual releases of the FAO fishery commodities database.

scholarly journals Brazil nuts a non-timber potential: Uncertainties and investments

2021 ◽  
Vol 10 (15) ◽  
pp. e22101521868
Author(s):  
Lyvia Julienne Sousa Rêgo ◽  
Naisy Silva Soares ◽  
Crismeire Isbaex ◽  
Simone Silva ◽  
José Cola Zanuncio ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Export Price ◽  
Price Volatility ◽  
Forest Products ◽  
Brazil Nut ◽  
Export Prices ◽  
Brazil Nuts ◽  
Risk Return ◽  
Price Series ◽  
Historical Series

The Brazil nut is one of the main non-timber forest products in Brazil, but its price fluctuations generate uncertainties and risks for both extractivists and investors. Econometric models or other simpler methods can estimate price changes and indicate the investment attractiveness of the Brazil nut. The objective of the present study was to analyze the risk-return relationship and the export price for both volatility of the Brazil nut over a 15 years period. The historical series of Brazil nut export prices, shelled and unshelled nuts, was evaluated from 2002 to 2016. The geometric growth rate and the variation coefficient indicate the return and risk respectively, associated with its price series. The price volatility of shelled and unshelled Brazil nuts was estimated with the standard deviation of the price series and with generalized models of ARCH (GARCH, EGARCH and TARCH). The shelled or unshelled Brazil nut coefficient increased over 15 years, with a low risk-return ratio. The shelled Brazil nut volatility was lower in the 2002 to 2006, 2007 to 2011 and 2012 to 2016 periods than for the unshelled nut when estimated by the standard deviation method than for the unshelled nut. The shelled Brazil nut price was higher from 2002 to 2016, with low volatility and persistent shocks. The estimate of the shelled and unshelled Brazil nut price volatility was better with the TARCH and the EGARCH models, respectively.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI EKSPOR TEPUNG KELAPA SULAWESI UTARA

2016 ◽  
Vol 12 (2A) ◽  
pp. 273
Author(s):  
Julentia M. V. Makatita ◽  
Ribka M. Kumaat ◽  
Juliana R. Mandei
Keyword(s):  
Exchange Rate ◽  
Negative Impact ◽  
Export Price ◽  
Secondary Data ◽  
Positive Influence ◽  
Export Prices ◽  
North Sulawesi ◽  
Positive Tendency ◽  
Time Period ◽  
The Us

The objective of this research is to analyze the influence of coconut production, the Rupiah exchange rate against the US $, and the export prices of desiccated coconut to the volume of exports of desiccated coconut North Sulawesi. This research was conducted in March-May 2016, with the location of Manado City, North Sulawesi. The data used in this research is secondary data obtained from related agencies such as the Department of Industry and Trade in North Sulawesi, Central Agency Statistics in North Sulawesi,Indonesia Bank, and Agricultural Departmentof North Sulawesi.Besides, there were interviews conducted on one of the companies which exportedthe desiccated coconut in North Sulawesi, namely PT. Dimembe Nyiur Agripro, to support the secondary data that has been obtained. The variables measured in this research are coconut production (Kg/year), the Rupiah exchange rate against the US$ (Rupiah), and desiccated coconut export price (US$/Kg). Thedata used istime series in the period of 2006 - 2015. Thedata analysis used is multiple linear regression. The result of this research shows that significantly in the time period of 2006-2015 the coconut production has positive influence on exports of desiccated coconut. The exchange rate shows a positive tendency and the export prices show that there was negative impact tendency,though both are not significant statistically to the exports of desiccated coconut in North Sulawesi.

scholarly journals Analisis Faktor Faktor yang Mempengaruhi Volume Ekspor Kentang pada PT Bumi Sari Lestari Kabupaten Temanggung Jawa Tengah

2021 ◽  
Vol 5 (3) ◽  
pp. 714-722
Author(s):  
Agus Faisal ◽  
◽  
Kustopo Budiraharjo ◽  
Mukson Mukson
Keyword(s):  
Exchange Rate ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Export Price ◽  
Secondary Data ◽  
Potato Production ◽  
Primary Data ◽  
Export Prices ◽  
Central Java ◽  
Export Volume

Exports are trading activities or selling goods to other countries with a mutually agreed system. International trade is one of the activities whose role is very important in increasing state income or meeting domestic needs. PT Bumi Sari Lestari is one of the horticultural exporters. It is necessary to know how many export volumes and what factors affect export volumes. This study aims to determine various factors that can affect the volume of potato exports of PT Bumi Sari Lestari, Temanggung, Central Java and predict the export of potatoes in the next few years (2020-2021). The study was conducted in March-May 2020 located at PT Bumi Sari Lestari, Temanggung, Central Java. The method used in this research is a case study. Determination The location of the study was determined intentionally (purposive). The data used in this study are primary data (interviews) and secondary data over the past 5 years (company data and related agencies in 2015-2019). Analysis of the data used in this study uses quantitative descriptive analysis and statistics with linear regression analysis and trend analysis. The variables analyzed include demand, export prices, local prices in Central Java, potato production, inflation, exchange rates and dummy number of importers. Based on the results of the study it can be concluded that the average annual potato export is 595,849 kg. Variable demand, potato export prices and local potato prices, inflation and the US dollar exchange rate simultaneously affect the volume of potato exports. The variable of demand, local price and inflation variables have a partial effect on the export volume of potatoes, while the variable of export price, the exchange rate and the number of importers have no partial effect on the export volume of potatoes. The results of forecasting of PT Bumi Sari Lestari potato exports in 2020 and 2021 were 572,074 kg and 301,818 kg respectively, which were 572,074 kg or decreased by 14.28% every quarter.

A global vector autoregression model for softwood lumber trade.

2021 ◽  
pp. 174-193
Author(s):  
Fatemeh Mokhtarzadeh
Keyword(s):  
Export Price ◽  
Propagation Mechanism ◽  
Impulse Response Functions ◽  
Vector Autoregressive ◽  
Softwood Lumber ◽  
Export Prices ◽  
Country Level ◽  
Housing Starts ◽  
Global Vector ◽  
Comprehensive Framework

Abstract A novel econometric approach is developed in this chapter, namely, the Global Vector Autoregressive (GVAR) model. It provides a comprehensive framework for analyzing the country-level impacts of various domestic, foreign, and/or global shocks on softwood lumber trade. The GVAR approach is applied to Canada-U.S. trade in softwood lumber and used to analyze the effect of external shocks on Canadian lumber prices. Findings indicate that Canada's export prices are positively correlated to U.S. housing starts and real GDP. Further, using impulse response functions, it is used to examine the effects on regional lumber export prices in Canada of: (1) a change in U.S. housing starts; (2) a reduction in U.S. GDP by one standard deviation; (3) a COVID-19 induced decline in U.S. GDP (of three standard deviations); (4) an increase in global oil prices; and, in the Appendix, (5) an increase in the long-term interest rate. Price impacts vary a great deal by Canadian region depending on the type of shock, with the propagation mechanism in Alberta significantly different from that in other regions. For example, with an oil price shock and because Alberta is a major exporter of oil, the lumber export price remains high even as the shock dissipates over time.

scholarly journals Simulasi Kebijakan untuk Peningkatan Harga Ekspor T urunan Crude Palm Oil Indonesia: Analisis Sistem Persamaan Simultan

2018 ◽  
Vol 1 (1) ◽  
pp. 89-101
Author(s):  
Odry Syafwil ◽  
Fitri Bunga Adelia
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Palm Oil ◽  
Real Interest Rate ◽  
Export Price ◽  
The Real ◽  
Export Prices ◽  
Export Volume ◽  
Endogenous Variables ◽  
Negative Effect

Palm oil industries is one of the leading agroindustrial in Indonesia. Since the downstream palm oil industries began at the end of 2011, the export volume of Indonesian CPO derived increased continously. However, it’s export pric e decreased. Thus, the main objective of this research was to built a single policy simulation scenarios that could increase the export price of Indonesian CPO derivatives. This research used simultaneous analysis with T wo-Stage Least Square estimation method that consisted three endogenous variables, namely export price and export volume of Indonesian CPO derivative and real exchange rate of rupiah to US dollar. The estimation results show that the real exchange rate had positive effects on the volume and export prices of Indonesian CPO derivatives. In contrast, the export volume of Indonesian CPO derivatives had positive effect on the real exchange rate and negative effect on the export price. Meanwhile, export prices of Indonesian CPO derivatives had negative effect on real exchange rate but didn’t effect on the export volume. From the estimation and historical time reference was obtained three simulation scenarios which could increase the export price of Indonesian CPO derivatives, i.e. increase 4.0 percent of export tariff, 0.4 percent,of inflation, and 0.4 percent of BI real interest rate. However, each scenario also negative effect on certain endogenous variables. If export tariff of Indonesian CPO derivative was increased, the export volume would decrease. Meanwhile, if the inflation or B I real interest rate was increased, the real exchange rate would depreciate. Keywords: Simultaneous Analysis, 2SLS, Downstream, Export Price, CPO

A global vector autoregression model for softwood lumber trade.

2021 ◽  
pp. 174-193
Author(s):  
Fatemeh Mokhtarzadeh
Keyword(s):  
Export Price ◽  
Propagation Mechanism ◽  
Impulse Response Functions ◽  
Vector Autoregressive ◽  
Softwood Lumber ◽  
Export Prices ◽  
Country Level ◽  
Housing Starts ◽  
Global Vector ◽  
Comprehensive Framework

Abstract A novel econometric approach is developed in this chapter, namely, the Global Vector Autoregressive (GVAR) model. It provides a comprehensive framework for analyzing the country-level impacts of various domestic, foreign, and/or global shocks on softwood lumber trade. The GVAR approach is applied to Canada-U.S. trade in softwood lumber and used to analyze the effect of external shocks on Canadian lumber prices. Findings indicate that Canada's export prices are positively correlated to U.S. housing starts and real GDP. Further, using impulse response functions, it is used to examine the effects on regional lumber export prices in Canada of: (1) a change in U.S. housing starts; (2) a reduction in U.S. GDP by one standard deviation; (3) a COVID-19 induced decline in U.S. GDP (of three standard deviations); (4) an increase in global oil prices; and, in the Appendix, (5) an increase in the long-term interest rate. Price impacts vary a great deal by Canadian region depending on the type of shock, with the propagation mechanism in Alberta significantly different from that in other regions. For example, with an oil price shock and because Alberta is a major exporter of oil, the lumber export price remains high even as the shock dissipates over time.

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